Hybrid Optimization Method for Reconfiguration of AC/DC Microgrids in All-Electric Ships
This work provides a solution for automatic failure recovery in shipboard power systems, which is critical for the reliability of all-electric ships.
The paper addresses the reconfiguration optimization problem for hybrid AC/DC microgrids in all-electric ships to maximize weighted load restoration under operating constraints. The proposed hybrid method (NRBBO) shows advantages in power restoration and convergence speed compared to other methods.
Since the limited power capacity, finite inertia, and dynamic loads make the shipboard power system (SPS) vulnerable, the automatic reconfiguration for failure recovery in SPS is an extremely significant but still challenging problem. It is not only required to operate accurately and optimally, but also to satisfy operating constraints. In this paper, we consider the reconfiguration optimization for hybrid AC/DC microgrids in all-electric ships. Firstly, the multi-zone medium voltage DC (MVDC) SPS model is presented. In this model, the DC power flow for reconfiguration and a generalized AC/DC converter are modeled for accurate reconfiguration. Secondly, since this problem is mixed integer nonlinear programming (MINLP), a hybrid method based on Newton Raphson and Biogeography based Optimization (NRBBO) is designed according to the characteristics of system, loads, and faults. This method facilitates to maximize the weighted load restoration while satisfying operating constraints. Finally, the simulation results demonstrate this method has advantages in terms of power restoration and convergence speed.